Seismic Inversion Methods: A Practical Approach

Name: Springer Nature & Given Its Multidisciplinary, Integrated And Practical Approach, The Book Offers A Valuable Tool For Students And Young Professionals, Especially Those Affiliated With Oil Companies.
Brand: Springer Nature
SKU: CBAK-316343
Price: 14871.00 JPY
Availability: InStock

About The . Given its multidisciplinary, integrated and practical approach, the book offers a valuable tool for students and young professionals, especially those affiliated with oil companies. Seismic inversion methods are routinely used to estimate attributes like P-impedance, S-impedance, density, the ratio of P-wave and S-wave velocities and elastic impedances from seismic and well log data

This book introduces readers to seismic inversion methods and their application to both synthetic and real seismic data sets. There are several seismic inversion methods available, but their application and results differ considerably, which can lead to confusion. Seismic inversion methods are routinely used to estimate attributes like P-impedance, S-impedance, density, the ratio of P-wave and S-wave velocities and elastic impedances from seismic and well log data. The types covered include model-based inversion, colored inversion, sparse spike inversion, band-limited inversion, simultaneous inversion, elastic impedance inversion and geostatistical inversion, which includes single-attribute analysis, multi-attribute analysis, probabilistic neural networks and multi-layer feed-forward neural networks. Given its multidisciplinary, integrated and practical approach, the book offers a valuable tool for students and young professionals, especially those affiliated with oil companies. This book explains all popular inversion methods, discusses their mathematical backgrounds, and demonstrates their capacity to extract information from seismic reflection data. These attributes help to understand lithology and fluid contents in the subsurface. In addition, the book describes local and global optimization methods and their application to seismic reflection data.

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These attributes help to understand lithology and fluid contents in the subsurface.

However, the concepts explained in the text can provide a good starting point to understand also the applications based on the so-called Block oscillations or on the BoseâEinstein condensation.

Books > Earth Sciences

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Appendix C reviews the elementary notions of statistics, namely random events and stochastic processes.

Explain the notion of prior distribution and posterior distribution. The highlight is the simultaneous determination of the first moment and the second central moment of a probability distribution in an inhomogeneous multilinear estimation by the so-called E-D correspondence as well as its Bayes design. (2) Bayes methods that covers (i) general principle of Bayesian modeling.

It is extremely enlightening for the students, research workers, scientists, faculty members in Applied Geophysics, Near Surface Geophysics, Potential field, Electrical and Electromagnetic methods, Mathematical Modeling Techniques in Earth Sciences, as well as Environmental and other practical problems associated with Earth Sciences.

The book is specifically aimed with the state-of-art information regarding research advances and new development in these areas of study, coupled to extensive modelling and field investigations obtained from around the world. Self-Potential Method: Theoretical Modeling and Applications in Geosciences.The book deals primarily with the aspects of advances in Self-Potential geophysical data modeling, different interpretation techniques, new ideas and an integrated study to delineate the subsurface structures associated with exploration, contamination, buried paleochannels, archaeological investigations, glaciology, geomorphology, subsurface mapping and also in hydrocarbon exploration.

These attributes help to understand lithology and fluid contents in the subsurface.

There are several seismic inversion methods available, but their application and results differ considerably, which can lead to confusion. Given its multidisciplinary, integrated and practical approach, the book offers a valuable tool for students and young professionals, especially those affiliated with oil companies.

It is extremely enlightening for the students, research workers, scientists, faculty members in Applied Geophysics, Near Surface Geophysics, Potential field, Electrical and Electromagnetic methods, Mathematical Modeling Techniques in Earth Sciences, as well as Environmental and other practical problems associated with Earth Sciences.

The book deals primarily with the aspects of advances in Self-Potential geophysical data modeling, different interpretation techniques, new ideas and an integrated study to delineate the subsurface structures associated with exploration, contamination, buried paleochannels, archaeological investigations, glaciology, geomorphology, subsurface mapping and also in hydrocarbon exploration. Self-Potential Method: Theoretical Modeling and Applications in Geosciences.The book is specifically aimed with the state-of-art information regarding research advances and new development in these areas of study, coupled to extensive modelling and field investigations obtained from around the world.